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We launched some updates to the Discover feed today. This likely won't affect existing users as much, but for new users it's a big improvement. Basically: the ML team managed to build an improved topic classifier, which means Discover is better at responding to selected interests.

This affects new users more because they haven't followed or liked anything yet. As you do both, you get more specific postes. When you're new, we don't know much about you, so we use these broad topic classifiers.

There's still a lot to be done, but I've promised to share details as we develop -- both for users and for other devs -- and I'm gonna deliver on that promise! I think once we feel like we're at our total quality targets, we'll share more detailed writeups on how it works

We literally just need it to be chronological It doesn't fucking matter if it gets to us because we like it It matters that we see what gets posted in real time We have the very real problem of developers trained by Nazis to fix

meaning less furries posts?

Thanks for the update, sounds like a significant improvement. Any idea how much this impacts racial / gender / etc biases?

Can you share more on what the labels are? Is it multiple categories like "politics", "art", "anime"?

Just curious why we can’t upload our own animated gifs, and like… have them animate. Can’t be a technical thing, y’all are too smart for that. So maybe a storage volume issue, or something contractual with Giphy that’s limiting implementation? 🤷🏼‍♀️ Just idle curiosity.

How many labels had to be manually created in this way?

I dunno off the top of my head, but it was a hefty endeavor